Digital Defense Content Provenance Act of 2023

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• False or misleading information
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• AI system security vulnerabilities
• Pollution of information ecosystem

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on malicious actors (4.1, 4.3), misinformation (3.1, 3.2), and AI system security (2.2). Coverage is concentrated in content authenticity, forgery prevention, and misinformation mitigation domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Professional & Technical Services
• Scientific Research & Development Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector, specifically the Department of Defense's media operations and information management. It does not regulate private sector activities or other government sectors beyond defense operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act introduced in the United States Senate with mandatory requirements, specific timelines, and enforcement through Congressional oversight mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document explicitly identifies Senator Peters as the introducer of the bill in the United States Senate, which was then referred to the Committee on Armed Services.

Target

• Entity Types: AI_Governance_Actor
• Summary: The document targets the Director of the Defense Media Activity with specific requirements to establish educational courses and pilot programs. It also applies to Department of Defense personnel who will receive training on digital content provenance.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Congressional Armed Services Committees serve as the enforcement bodies through their oversight authority, receiving mandatory briefings and reports to ensure compliance with the Act's requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Congressional Armed Services Committees monitor implementation through required briefings and reports at specific intervals. The Director also monitors the pilot program's effectiveness through measures of effectiveness and interim reporting.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on implementing authentication standards for digital content and establishing ongoing verification processes. It also covers Plan and Design through curriculum development and Verify and Validate through the pilot program assessment.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• Generative AI

Technical Scope Summary

The document explicitly mentions AI and machine learning techniques in the context of digital content forgery. It does not specifically mention AI models, AI systems, or any specific AI categories (frontier, general purpose, task-specific, foundation models, generative, predictive). There is no mention of compute thresholds or open-weight/open-source models. The focus is on authentication standards rather than AI system characteristics.